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<< the Rational Unified Process (RUP) | Rational Rose RealTime >>
Modeling Data
<< the Rational Unified Process (RUP) | Rational Rose RealTime >>
Continuing Work with the Sequence Diagram
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When you start changing code, your model may become out of date. It is tedious to
manually update the model whenever the code changes. It is also undesirable to
create a model that immediately becomes obsolete. Rose helps you keep the code and
the model consistent through a process called reverse engineering, where Rose
automatically updates the model from changes in the code. To reverse engineer after
updating source code, you would click Tools > Java / J2EE > Reverse Engineer.
As you can see from the Tools menu, Rose supports several languages in addition to
Java. These languages include ANSI C++ and Visual Basic.
Note:
Rose Enterprise Edition and Rose Professional Data Modeler Edition can
generate code, update code, and update models. For database schemas, both editions
can generate code from a Rose visual model and update a Rose model from source
code through a process called round-trip engineering. However, Rose Professional
Data Modeler Edition only supports round-trip engineering to and from DDL scripts
and database schemas ­ not for other languages such as Java and Visual C++.
Modeling Data
You can use Rose to model relational databases. Rose Professional Data Modeler
Edition is a database modeling and design tool that uses UML. It helps you:
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Support most specific database functions such as creating tables, columns,
indexes, relationships, keys (primary and foreign), stored procedures, and views.
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Create column constraints, and both DRI (Declarative Referential Integrity) and RI
triggers.
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Create custom triggers and their generated trigger code.
Benefits
The benefits of using Rose Professional Data Modeler are:
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All your business, application, and data models are written in UML, the same
industry-standard language promoting consistency, traceability, and ease of
communication.
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Both forward and reverse engineering of relational databases are supported,
facilitating the process of keeping database implementations and models
consistent.